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Sobre

Sobre

J. T. Saraiva nasceu no Porto, Portugal, em 1962 e obteve um grau equivalente a MSc, o PhD e o título de Agregado pela Faculdade de Engenharia da Universidade do Porto em 1987, 1993 e 2002 onde é actualmente Professor. Intergra o INESC Porto desde 1985 onde é Investigador Sénior e colaborou ou foi responsável por diversas actividades no âmbito de projectos financiados pela EU, projectos financiandos por entidades nacionais bem diversos contratos de consultoria técnica por exemplo envolvendo a Entidade Reguladora dos Serviços Energéticos, a EDP Distribuição, a EDP Produção, a REN, a Empresa de Electricidade da Madeira, a Empresa de Electricidade dos Açores e os Operadores do Ssitema Eléctrico Grego e Brasileiro. Ao longo da sua carreira académica orientou mais de 50 Teses de Mestrado, 10 teses de Doutoramento e foi co-autor de 3 livros, de mais de 30 publicações em international journals e mais de 120 publicações em conferências internacionais.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    João Tomé Saraiva
  • Cluster

    Energia
  • Cargo

    Investigador Coordenador
  • Desde

    15 julho 1985
018
Publicações

2019

State-of-the-art of transmission expansion planning: A survey from restructuring to renewable and distributed electricity markets

Autores
Gomes, PV; Saraiva, JT;

Publicação
International Journal of Electrical Power and Energy Systems

Abstract
Transmission Expansion Planning (TEP) problem aims at identifying when and where new equipment as transmission lines, cables and transformers should be inserted on the grid. The transmission upgrade capacity is motivated by several factors as meeting the increasing electricity demand, increasing the reliability of the system and providing non-discriminatory access to cheap generation for consumers. However, TEP problems have been changing over the years as the electrical system evolves. In this way, this paper provides a detailed historical analysis of the evolution of the TEP over the years and the prospects for this challenging task. Furthermore, this study presents an outline review of more than 140 recent articles about TEP problems, literature insights and identified gaps as a critical thinking in how new tools and approaches on TEP can contribute for the new era of renewable and distributed electricity markets. © 2019 Elsevier Ltd

2019

Impact of decision-making models in Transmission Expansion Planning considering large shares of renewable energy sources

Autores
Gomes, PV; Saraiva, JT; Carvalho, L; Dias, B; Oliveira, LW;

Publicação
Electric Power Systems Research

Abstract

2019

On the use of causality inference in designing tariffs to implement more effective behavioral demand response programs

Autores
Ganesan, K; Saraiva, JT; Bessa, RJ;

Publicação
Energies

Abstract
Providing a price tariff that matches the randomized behavior of residential consumers is one of the major barriers to demand response (DR) implementation. The current trend of DR products provided by aggregators or retailers are not consumer-specific, which poses additional barriers for the engagement of consumers in these programs. In order to address this issue, this paper describes a methodology based on causality inference between DR tariffs and observed residential electricity consumption to estimate consumers’ consumption elasticity. It determines the flexibility of each client under the considered DR program and identifies whether the tariffs offered by the DR program affect the consumers’ usual consumption or not. The aim of this approach is to aid aggregators and retailers to better tune DR offers to consumer needs and so to enlarge the response rate to their DR programs. We identify a set of critical clients who actively participate in DR events along with the most responsive and least responsive clients for the considered DR program. We find that the percentage of DR consumers who actively participate seem to be much less than expected by retailers, indicating that not all consumers’ elasticity is effectively utilized. © 2019 by the authors.

2019

A three-stage multi-year transmission expansion planning using heuristic, metaheuristic and decomposition techniques

Autores
De Oliveira, LE; Saraiva, JT; Gomes, PV; Freitas, FD;

Publicação
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
Security and quality of supply continue to be major concern of power system operators. Thus, the expansion of transmission grids is certainly one of the major drivers to achieve this goal. In this scope, this paper presents a three-stage approach to solve the multi-year Transmission Expansion Planning (TEP) problem. This approach uses heuristic algorithms coupled with the Harmony Search (HS) metaheuristic and the Branch Bound (B&B) algorithm. This hybrid method (HS-B&B) aims at finding the optimal multi-stage investment plan avoiding load shedding over the planning horizon. In this work, the AC-Optimal Power Flow (AC-OPF) is used to model the network as a way to consider the real operation conditions of the system. The method was validated using the Garver and the IEEE RTS 24 bus systems. Results demonstrate the reduction of computational effort without compromising the quality of the TEP. © 2019 IEEE.

2019

Modelling the growth of dg market and the impact of incentives on its deployment: Comparing fixed adoption and system dynamics methods in Brazil

Autores
Coelho, MDP; Saraiva, JT; Konzen, G; Araujo, MC; Pereira, AJC;

Publicação
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
One of the greatest challenges of power system planners is to incorporate the expected growth of Distributed Generation (DG) in operation and expansion studies, while modeling and understanding its impacts. This paper describes and compares the outcomes of two different methodologies to model the impact of the growth of DG using concepts of the Bass theory of diffusion. We are applying both Fixed Adoption and System Dynamics models using public data and the tariff scenarios proposed in a public consultation developed by the Brazilian Electricity Regulation Agency. The results indicate that the System Dynamics approach can be more suitable to conduct this analysis, since it does not have discontinuities. Additionally, the model and numerical results that are obtained can be used to help the regulatory agency to better design tariff schemes in the public consultation process. © 2019 IEEE.

Teses
supervisionadas

2017

Avaliação do Impacto de Transferências de Carga entre Horas Adjacentes na Função de Benefício Social do Mercado Diário do MIBEL

Autor
Pedro Tiago Lourenço Pinto

Instituição
UP-FEUP

2017

Residential Consumer Behavioural Analysis on the participation in Demand Response Strategies including distributed generation and electric vehicles

Autor
Kamalanathan Ganesan

Instituição
UP-FEUP

2017

Comportamento dos Preços do MIBEL Tendo em Conta Cenários de Crescimento do Número de Veículos Elétricos

Autor
António José Mendes Cruz de Sousa

Instituição
UP-FEUP

2017

Deteção e caracterização de perturbações de preços de mercado com base em sistemas imunológicos artificiais

Autor
Eduardo Fernando Nogueira Rodrigues da Rocha

Instituição
UP-FEUP

2017

Análise dos Resultados do Mercado Ibérico de Eletricidade no ano de 2016

Autor
Francisco Manuel Silva Leite Santos Brandão

Instituição
UP-FEUP